Online Marketplace Image Scaling for Quality and Storage
Solution Overview
Problem
Current online marketplace websites face limitations in providing high-quality image representation and efficient transaction processes, making it difficult for sellers to effectively showcase items and for buyers to make informed purchasing decisions due to limitations in image size and quality.
Innovation Solution
The system generates multiple scaled image files from an original item image, allowing sellers to select the best representation for their listings, which are then displayed to potential buyers, enhancing image quality and reducing storage requirements by discarding the original file.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the original digital image is displayed as-is on the selling webpage, then the image quality is preserved, but the image size becomes too large for effective display and storage becomes inefficient
Solution Approach 1:
The patent divides the image display into multiple size categories (thumbnail size for listings, medium size for detailed views, large size for close-ups). The system generates scaled versions of the original image at different resolutions, allowing the same original image to serve multiple display purposes simultaneously. This segmentation resolves the contradiction by preserving original quality while creating appropriately sized versions for different contexts.
Solution Approach 2:
The system changes the image parameter of size by generating scaled versions of the original image at different resolutions. The image processing module creates thumbnail images at reduced resolution for efficient display in listings, while maintaining the ability to access higher resolution versions when needed. This parameter transformation allows the system to optimize both display area efficiency and image quality preservation.
2Manufacturing precision
If multiple different images are uploaded for different viewing sizes, then image quality for each size is optimized, but storage requirements increase and device complexity increases
Solution Approach 1:
Instead of requiring sellers to upload multiple separate images for different viewing sizes, the system creates copies (scaled versions) of the single original image that the seller provides. The image processing module generates thumbnail, medium, and large versions from one original image upload, reducing storage requirements while maintaining quality optimization for each display context.
Solution Approach 2:
The system transforms the single original image parameter set into multiple parameter variations (different resolutions) through automated scaling. This parameter transformation approach eliminates the need for sellers to provide separate images for different sizes, reducing both storage space requirements and the complexity of image management while preserving quality for each size category.
3Quantity of substance
If the system stores only the original image file, then storage space is saved, but the system cannot provide multiple image size options to buyers
Solution Approach 1:
The system performs preliminary action by automatically generating scaled versions of the original image during the upload process, before the seller needs to list the item. The image processing module creates thumbnail, medium, and large versions in advance, so when buyers access the listing, multiple image size options are already available without requiring additional storage or complex on-demand processing.
Solution Approach 2:
The system transforms the single original image parameter into multiple parameter variations (different resolutions) through automated scaling during the upload process. This preliminary parameter transformation provides multiple image size options to buyers while maintaining efficient storage, as all variations are generated from one original image rather than requiring separate image files.
4Manufacturing precision
If the system provides large high-quality images to all buyers, then image quality is maximized, but page load time increases and user experience deteriorates
Solution Approach 1:
The patent segments image delivery by providing different image quality levels at different stages of user interaction. Thumbnail images are displayed first in search results and listings for quick loading, while larger high-quality images are loaded only when users click to view detailed information. This segmentation resolves the contradiction by optimizing both speed and quality at appropriate moments in the user experience.
Solution Approach 2:
The system applies partial action by providing sufficient image quality for the current context without over-delivering. Thumbnail images provide adequate quality for browsing and search results, while high-quality large images are provided only when specifically needed for detailed viewing. This partial provision optimizes page load speed while maintaining acceptable quality for each stage of interaction.
Data Source
AI summary
A system to facilitate electronic commerce associated with an online marketplace, program product, and methods are provided. Electronic commerce over a computer network is facilitated by a computer system that forms a community of computers that enable the users to buy and sell items in an online marketplace. To list the item on an online marketplace website, for example, the selling user posts an item with the marketplace website by completing an online-item creation form. The form requires input related to the item, such as a description, sale price or minimum bid, shipping instructions, and the like. The selling user uploads an image file of the item to the marketplace website's server. The server contains a random image size generator that generates at least two additional images of the item that are presented to the selling user for selection of the image that the selling user wants to include on the selling website to advertise the item.